Perspective-Aware AI in Extended Reality

TL;DR

This paper introduces PAiR, a framework that integrates perspective-aware AI with XR to create more adaptive, interpretable, and user-specific immersive experiences by modeling user identity and cognitive states.

Contribution

The paper presents a novel framework, PAiR, that combines perspective-aware AI with XR using identity models learned from multimodal data, enabling context-aware and interpretable experiences.

Findings

Demonstrated PAiR's architecture and modules in Unity-based OpenDome.

Implemented two proof-of-concept scenarios showing practical utility.

Showed potential for improved human-AI interaction in XR environments.

Abstract

AI-enhanced Extended Reality (XR) aims to deliver adaptive, immersive experiences-yet current systems fall short due to shallow user modeling and limited cognitive context. We introduce Perspective-Aware AI in Extended Reality (PAiR), a foundational framework for integrating Perspective-Aware AI (PAi) with XR to enable interpretable, context-aware experiences grounded in user identity. PAi is built on Chronicles: reasoning-ready identity models learned from multimodal digital footprints that capture users' cognitive and experiential evolution. PAiR employs these models in a closed-loop system linking dynamic user states with immersive environments. We present PAiR's architecture, detailing its modules and system flow, and demonstrate its utility through two proof-of-concept scenarios implemented in the Unity-based OpenDome engine. PAiR opens a new direction for human-AI interaction by embedding perspective-based identity models into immersive systems.